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Pedro Iraburu
I am a young Economist, born in 1995, fanatic of programming and data analysis. Since being introduced to Python when I wrote my degree thesis, I have also learnt R, Matlab and Stata. I am currently enrolled in my second master, in the VU. After finishing, I plan to specialize in Data Science, Finances, Econometrics, or in a similar field.
Education
Master’s Econometrics and Operations Research
Vrije Universiteit
Amsterdam, The Netherlands
2021 - 2020
- The master focuses on developments in theory, methodology and application of econometric and statistical methods for the analysis of Big Data. I am currently enrolled in two specializations: Financial Econometrics, and Econometrics and Data Science.
Master in Economics: Empirical Application and Policies
EHU/UPV
Bilbo, Spain
2020 - 2019
- Learning of the theoretical, empirical and computational methods that economists use to understand markets and analyze data. Fully taught in English. Academic average of ~9.0/10.
- Thesis: “Social class segregation in upper-secondary school choice in Canada”.. Done in R, using 2012 PISA data, and a multinomial logit model as central axis (9.5/10)
Degree in Economics
University of Malaga
Malaga, Spain
2019 - 2015
- Thesis: “Computable Dynamic General Equilibrium with free hardware and software”, with honors, done in Python with a Raspberry Pi.
- One of the 10 best academic careers of the Economics degree 2015/2019.
Coursed two years of the Double degree in Mechanical and Electrical Engineering
University of Malaga
Malaga, Spain
2015 - 2013
- I had always enjoyed Mathematics and Natural Sciences, so I assumed that engineering would be a fitting a choice. From these two years I got my interest on programming, as I was taught C++, and although it was highly educational, I realized it was not the right choice for me.
Bachelor of Science
Colegio Ecos
Marbella, Spain
2013 - 2011
- Academic average of 9.32/10.00
Skills
Data Science
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- I have strong quantitative and computational skills, handling a wide array of tools and programming lenguages to do so, from R to Python, Matlab and evolutionary computing techniques. I have learnt to analyze and understand data from different fields and databases, such as labor, energy and cultural markets, PISA, EUKlems and MCVL.
Financial Data Analysis
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- A recent interest of mine, I have developed good skills handling financial data from the VU master’s courses, including binomial trees, volatility measures (GARCH, GAS models), and the Black-Scholes.
Econometrics/statistics
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- I master many econometric and statistical methods: from regression of qualitative dependent variables, to time series, multivariate models and panel data analysis. I have a good understanding on the theoretical and practical components of the most popular econometric methods, and how to apply them to large quantities of data to construct models.
Micro and Macroeconomics knowledge
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- Game theory, market analysis, DSGE models, monetary markets, growth theory… are some of the relevant fields I am profficient in, both from a theorical and practical approach.
Languages
Spanish
Native
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English
Advanced level, also in academic environment
Cambridge
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- Cambridge English: Advanced (CAE)
- One school year in King’s Bruton, Somerset.
German
Initiate level
Goethe Institut
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- A2 Goethe-Zertifikat
- Two weeks deutsch course in Garmisch-Partenkirchen.
Future projects and plans
Econometrics, Data Science, Finance
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- I want to improve my current data analysis skills and bring them to a more practical/field related approach.
Work experience
Consultant Assistant
Malaga, Spain
PLAYS Consultores
2019
- I spent three months working in PLAYS, a consultancy agency in Malaga city. I mainly did accounting and business analysis.
Social Sciences Component
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